What principle guides your AI investment decisions?

The answers emphasize adaptability, risk assessment, and maintaining a forward-looking mindset as key principles for investing in AI-driven markets, though each prioritizes a different approach.

5 answers

Answers

  • Yuri Sagalov

    Managing Director · General Catalyst

    Velocity

    Yuri Sagalov says he relies on velocity—speed and direction—as the number one predictor of success, looking for progress, customer conversations and learning even if the direction is wrong.

    The answer starts at 10:32.

    The Full Ratchet (TFR): Venture Capital and Startup Investing Demystified · Listen on Apple Podcasts
  • Bill Ackman

    Founder and Chief Executive Officer · Pershing Square Capital Management

    Assess Risk

    Bill Ackman says the most important thing an investor has to do is assess the risk, noting that AI has massively increased the risk of disruption, so you have to be very thoughtful about the businesses you invest in.

    The Knowledge Project Podcast · Watch on YouTube
  • Jake Flomenberg

    Partner · Wing Venture Capital

    Enduring Differentiability

    Jake Flomenberg says he keeps coming back to enduring differentiability, asking whether a company will stay differentiated in a few years or be made irrelevant by a new model release.

    The answer starts at 0:58.

    BUILDERS · Listen on Apple Podcasts
  • Reid Hoffman

    Co-Founder, Executive Board Chair · Manas Ai

    Beginner's Mind

    Reid Hoffman says to continue with a beginner's mind, since the possibility landscape keeps shifting and you must keep learning and adjusting.

    Reid Hoffman · Watch on YouTube
  • Navin Chaddha

    Managing Partner · Mayfield Fund

    Prepared and Open Mind

    Navin Chaddha says no one answer fits: depending on the area, a VC needs both a prepared mind (a thesis) and an open mind for blue ocean opportunities.

    The Peel with Turner Novak · The Peel with Turner Novak · Listen at 48:53

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